Multi-Channel CNN Based Inner-Attention for Compound Sentence Relation Classification

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-channel Sentence Classification for Spo

In traditional language modeling word prediction is based on the local context (e.g. n-gram). In spoken dialog, language statistics are affected by the multidimensional structure of the human-machine interaction. In this paper we investigate the statistical dependencies of users’ responses with respect to the system’s and user’s channel. The system channel components are the prompts’ text, dial...

متن کامل

Relation Classification: CNN or RNN?

Convolutional neural networks (CNN) have delivered competitive performance on relation classification, without tedious feature engineering. A particular shortcoming of CNN, however, is that it is less powerful in modeling longspan relations. This paper presents a model based on recurrent neural networks (RNN) and compares the capabilities of CNN and RNN on the relation classification task. We c...

متن کامل

Multi-channel sentence classification for spoken dialogue language modeling

In traditional language modeling word prediction is based on the local context (e.g. n-gram). In spoken dialog, language statistics are affected by the multidimensional structure of the human-machine interaction. In this paper we investigate the statistical dependencies of users’ responses with respect to the system’s and user’s channel. The system channel components are the prompts’ text, dial...

متن کامل

Relation Classification via Multi-Level Attention CNNs

Relation classification is a crucial ingredient in numerous information extraction systems seeking to mine structured facts from text. We propose a novel convolutional neural network architecture for this task, relying on two levels of attention in order to better discern patterns in heterogeneous contexts. This architecture enables endto-end learning from task-specific labeled data, forgoing t...

متن کامل

Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness

Object Detection is critical for automatic military operations. However, the performance of current object detection algorithms is deficient in terms of the requirements in military scenarios. This is mainly because the object presence is hard to detect due to the indistinguishable appearance and dramatic changes of object’s size which is determined by the distance to the detection sensors. Rec...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2019

ISSN: 2169-3536

DOI: 10.1109/access.2019.2943545